Towards the Automatic Evolutionary Prediction of the FOREX Market Behaviour

被引：4
|
作者：
Slany, Karel [1 ]
机构：
[1] Brno Univ Technol, Fac Informat Technol, Dept Comp Syst, Brno, Czech Republic
来源：
PROCEEDINGS 2009 INTERNATIONAL CONFERENCE ON ADAPTIVE AND INTELLIGENT SYSTEMS, ICAIS 2009 | 2009年
关键词：
FOREX; prediction; genetic programming; on-line evolution;
D O I：
10.1109/ICAIS.2009.31
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper a self-adapting architecture for FOREX market prediction, which is being developed, is described. The proposed system utilizes genetic programming (GP) for predictor representation. The goal of the system is the design and adaptation of simple predictors which can either be used by the system itself or be 'manually' used by a human trader.
引用
收藏
页码：141 / 145
页数：5
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